SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…Unlike existing methods, SensorDBSCAN eliminates the need for manual labeling large amounts of data, cluster analysis, and pre-defining cluster numbers, providing greater usability in real-world cases. We validate the effectiveness of our method on the Tennessee Eastman Process (TEP) and its advanced simulations (TEP Rieth and TEP Rieker). …”
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Artificial intelligence in suicide prevention: Utilizing deep learning approach for early detection by Vikas Gaur, Gaurav Maggu, Khushboo Bairwa, Suprakash Chaudhury, Sana Dhamija, Tahoora Ali

“…The model’s efficiency in evaluating large populations swiftly indicates its clinical potential. Refinement and real-world validation remain future considerations.…”
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A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks by Jianjun Cheng, Wenbo Zhang, Haijuan Yang, Xing Su, Tao Ma, Xiaoyun Chen

“…To test the effectiveness of the proposed framework and method, we have performed extensive experiments on both some synthetic networks and some real-world networks; the experimental results show that the proposed method can get better results, and the quality of the detected community structure is much higher than those of competitors.…”
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Mining label-free consistency regularization for noisy facial expression recognition by Yumei Tan, Haiying Xia, Shuxiang Song

“…Abstract Noisy labels are unavoidable in facial expression recognition (FER) task, significantly hindering FER performance in real-world scenarios. Recent advances tackle this problem by leveraging uncertainty for sample partitioning or constructing label distributions. …”
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Best practices in the management of thyroid dysfunction induced by immune checkpoint inhibitors by Ichiro Yamauchi, Daisuke Yabe

“…The incidence of overt thyroid irAEs was in the range of 8.9–22.2% in real-world settings, typically triggered by antibodies against PD-1 and PD-L1 and rarely by anti-CTLA-4 antibodies alone. …”
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A Hybrid Model for Psoriasis Subtype Classification: Integrating Multi Transfer Learning and Hard Voting Ensemble Models by İsmail Anıl Avcı, Merve Zirekgür, Barış Karakaya, Betül Demir

“…<b>Conclusions:</b> This method offers significant potential to enhance the classification of psoriasis subtypes in clinical and real-world settings.…”
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Fault Diagnosis of Magnetically Controlled On-Column Circuit Breaker Based on Small Sample Condition by He Tian, Chao Liang, Wenpeng Ma, Tianchang Zhang

“…Subsequently, to address the problem of real-world operational data being susceptible to noise, a Stacked Denoising Autoencoder (SDAE) is utilized as the discriminator in the ACGAN framework. …”
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Integrated high-precision real scene 3D modeling of karst cave landscape based on laser scanning and photogrammetry by Congyuan Zhang, Jianping Chen, Ping Li, Sipeng Han, Jie Xu

“…The establishment of high-precision real scene 3D models can not only serve as an effective tool for scientific research on caves but also, as replicas of the real world, play a crucial role in public dissemination and education, thereby enhancing public understanding of cave geological landscapes.…”
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Deep Spatio-Temporal Illuminant Estimation Under Time-Varying AC Lights by Jun-Sang Yoo, Kang-Kyu Lee, Chan-Ho Lee, Ji-Min Seo, Jong-Ok Kim

“…By learning both spatial and temporal features, the proposed method performs remarkably under a complex illuminant environment in a real world scenario in which color constancy is difficult to investigate. …”
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Ranking Sustainable Projects through an Innovative Hybrid DEMATEL-VIKOR Decision-Making Approach Using Z-Number by Armin Akhavein, Ali RezaHoseini, AmirMohammad Ramezani, Morteza BagherPour

“…Apart from that, given that Z-number takes the probability of reliance on the opinions of experts into consideration, the more the approach moves from being certain towards the fuzzy state and the Z-number state, the more the results approach the real world, hence yielding more reliable results. Therefore, results obtained from the proposed Z-DEMATEL-VIKOR approach are far more reliable. …”
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Side-Scan Sonar Small Objects Detection Based on Improved YOLOv11 by Chang Zou, Siquan Yu, Yankai Yu, Haitao Gu, Xinlin Xu

“…The proposed method was validated through extensive real-world experiments, yielding a precision of 0.934, recall of 0.698, mAP@0.5 of 0.825, and mAP@0.5:0.95 of 0.598. …”
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Enhanced Chemical Insights into Fullerene Structures via Modified Polynomials by Ali N. A. Koam, Ali Ahmad, Raed Qahiti, Muhammad Azeem, Waleed Hamali

“…In addition to enhancing the theoretical underpinnings, the interaction between algebraic characteristics and fullerene structures creates opportunities for real-world applications in materials science and nanotechnology. …”
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Oriented R-CNN With Disentangled Representations for Product Packaging Detection by Jiangyi Pan, Jianjun Yang, Yinhao Liu, Yijie Lv

“…However, despite the state-of-the-art methods being tested on public datasets, there still remains a considerable gap when applied to real-world scenarios. This is because there are many unknown types of damaged samples in industrial object detection, the scale of the types varies greatly and the position changes are complex. …”
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Advances in the estimation of body fat percentage using an artificial intelligence 2D-photo method by Tathiany J. Ferreira, Igor C. Salvador, Carolina R. Pessanha, Renata R. M. da Silva, Aline D. Pereira, Maria A. Horst, Denise P. Carvalho, Josely C. Koury, Anna P. T. R. Pierucci

“…Abstract There is a growing need to evaluate the agreement between the field methods and integrate artificial intelligence (AI) using two-dimensional (2D) photos for enhanced real-world analysis. This study evaluated the agreement between AI-2D photos and the clinical reference method, dual-energy X-ray absorptiometry (DXA) to estimate the body fat percentage (BFP). …”
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Enhancing efficiency of a laboratory-scale hybrid cooling tower using Fe3O4-water nanofluid and spiral coils by Danial Fallah Heravi, Hamid Reza Goshayeshi, Reza Saleh

“…The scalability of the proposed system presents strong potential for real-world industrial applications, driving the development of sustainable, energy-efficient cooling solutions in various sectors.…”
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A Method for Rapidly Determining the Seismic Performance of Buildings Based on Remote-Sensing Imagery and Its Application by Sihan Yu, Xiaofeng Xie, Peng Du, Xiaoqing Wang, Shun Yang, Chao Liu

“…This method can satisfy the real-world need for rapidly assessing the SP and distribution of buildings in a region before an earthquake occurs and provide a reliable reference for disaster prevention, mitigation, and relief efforts.…”
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Treatment for neovascular age-related macular degeneration: reasonable expectations of physicians and patients by A.B. Durasov

“…Poor adherence to treatment (non-compliance or nonpersistence of anti-VEGF therapy) significantly affects treatment outcomes in real-world clinical practice. This paper reviews criteria which predict the response to antivasoproliferative therapy and improving treatment adherence. …”
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Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation by Zhengshun Fei, Haotian Zhou, Jinglong Wang, Gui Chen, Xinjian Xiang

“…Experimental results on two real-world datasets demonstrate that LSGCNT achieves superior recommendation performance compared with eight other state-of-the-art recommendation models.…”
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CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals by Rohini Dakulagi, Ravi Raushan, Soham Dutta, Mohammed Theeb Alosaimi, Miguel Villagomez-Galindo

“…The usefulness of the CUSE-TD algorithm lies in its applicability CUSE -TD to real-world MIMO systems, particularly in complex environments such as radar, wireless communications, and surveillance systems, where accurate source detection is critical for operational effectiveness. …”
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Sensor-based technologies for motion analysis in sports injuries: a scoping review by Afrooz Arzehgar, Seyedeh Nahid Seyedhasani, Fatemeh Baharvand Ahmadi, Fatemeh Bagheri Baravati, Alireza Sadeghi Hesar, Amir Reza Kachooei, Shokoufeh Aalaei

“…Significant research gaps, including the integration of advanced processing techniques, real-world applicability, and the inclusion of underrepresented domains such as adaptive sports, highlight opportunities for innovation. …”
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